text: # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  # ==============================================================================
  
  """Tests for object_detection.core.box_coder."""
  
  import tensorflow as tf
  
  from app.object_detection.core import box_coder
  from app.object_detection.core import box_list
  
  
  class MockBoxCoder(box_coder.BoxCoder):
    """Test BoxCoder that encodes/decodes using the multiply-by-two function."""
  
    def code_size(self):
      return 4
  
    def _encode(self, boxes, anchors):
      return 2.0 * boxes.get()
  
    def _decode(self, rel_codes, anchors):
      return box_list.BoxList(rel_codes / 2.0)
  
  
  class BoxCoderTest(tf.test.TestCase):
  
    def test_batch_decode(self):
      mock_anchor_corners = tf.constant(
          [[0, 0.1, 0.2, 0.3], [0.2, 0.4, 0.4, 0.6]], tf.float32)
      mock_anchors = box_list.BoxList(mock_anchor_corners)
      mock_box_coder = MockBoxCoder()
  
      expected_boxes = [[[0.0, 0.1, 0.5, 0.6], [0.5, 0.6, 0.7, 0.8]],
                        [[0.1, 0.2, 0.3, 0.4], [0.7, 0.8, 0.9, 1.0]]]
  
      encoded_boxes_list = [mock_box_coder.encode(
          box_list.BoxList(tf.constant(boxes)), mock_anchors)
                            for boxes in expected_boxes]
      encoded_boxes = tf.stack(encoded_boxes_list)
      decoded_boxes = box_coder.batch_decode(
          encoded_boxes, mock_box_coder, mock_anchors)
  
      with self.test_session() as sess:
        decoded_boxes_result = sess.run(decoded_boxes)
        self.assertAllClose(expected_boxes, decoded_boxes_result)
  
  
  if __name__ == '__main__':
    tf.test.main()
  